Usage of IoT Framework in Water Supply Management for Smart City in Nepal

Gautam, Ganesh; Sharma, Gajendra; Magar, Bipin Thapa; Shrestha, Bhanu; Cho, Seongsoo; Seo, Changho

doi:10.3390/app11125662

Cited by 18 publications

(5 citation statements)

References 66 publications

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“…In this way, the "Cloud of Things" paradigm enriches IoT applications with cloud-based solutions, providing multiple approaches for sustainable smart-city development [78]. As a result, cloud-based IoT solutions are being used in sustainable smart cities for monitoring transportation networks [79], water supply systems [80], crime detection [81], and many other vital smart-city systems. With the advanced development of artificial intelligence algorithms and models, data from IoT devices can be processed and used in various applications [82], potentially leading to the improvement of many systems in this scenario [83][84][85].…”

Section: Iot-based Sensingmentioning

confidence: 99%

Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches

Costa,

Bittencourt,

Oliveira

et al. 2024

Sustainability

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In recent years, the concept of smart cities has become increasingly important in the pursuit of sustainable development goals. In general, common urban challenges have been addressed through smart-city services, and new perspectives for more sustainable cities have emerged. To realize the full potential of such smart urban environments, geospatial approaches have been used as a focal point, offering a plethora of applications that contribute to a better understanding of urban challenges and innovation potentials. Nevertheless, although significant progress has been made, different problems may arise when the available technologies and resources are not understood or even when their potentialities are not properly capitalized. This article reviews the state of the art in the field, highlighting success cases and remaining challenges in exploiting geospatial data-driven strategies, particularly when leveraging geographic information systems, satellites, and distributed sensors to produce and process geospatial data and datasets in urban scenarios. Moreover, a more organized perspective of the area is provided in this article, as well as future development trends, supporting new research efforts in this area when empowering smart cities for a more sustainable future.

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Section: Iot-based Sensingmentioning

confidence: 99%

Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches

Costa,

Bittencourt,

Oliveira

et al. 2024

Sustainability

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“…In [26], Gautam et al proposed an IoT application for the water supply management system in smart cities. The proposed architecture uses General Purpose Input Output (GPIO) communications for connecting ultrasonic sensors and water pumps with Raspberry PI.…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of SEMAR IoT Server Platform with Applications

Panduman

Funabiki

Puspitaningayu

et al. 2022

Sensors

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Nowadays, rapid developments of Internet of Things (IoT) technologies have increased possibilities of realizing smart cities where collaborations and integrations of various IoT application systems are essential. However, IoT application systems have often been designed and deployed independently without considering the standards of devices, logics, and data communications. In this paper, we present the design and implementation of the IoT server platform called Smart Environmental Monitoring and Analytical in Real-Time (SEMAR) for integrating IoT application systems using standards. SEMAR offers Big Data environments with built-in functions for data aggregations, synchronizations, and classifications with machine learning. Moreover, plug-in functions can be easily implemented. Data from devices for different sensors can be accepted directly and through network connections, which will be used in real-time for user interfaces, text files, and access to other systems through Representational State Transfer Application Programming Interface (REST API) services. For evaluations of SEMAR, we implemented the platform and integrated five IoT application systems, namely, the air-conditioning guidance system, the fingerprint-based indoor localization system, the water quality monitoring system, the environment monitoring system, and the air quality monitoring system. When compared with existing research on IoT platforms, the proposed SEMAR IoT application server platform offers higher flexibility and interoperability with the functions for IoT device managements, data communications, decision making, synchronizations, and filters that can be easily integrated with external programs or IoT applications without changing the codes. The results confirm the effectiveness and efficiency of the proposal.

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“…The potential of the IoT framework for management of water supply in a smart city is exemplified in [36]. Efficient management of a water supply through the use of an IoT application to automate the operation of a motor in each house is discussed.…”

Section: Iot In Water Managementmentioning

confidence: 99%

Smart Water Resource Management Using Artificial Intelligence—A Review

Somayaji

Nallakaruppan²,

Chengoden³

et al. 2022

Sustainability

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Water management is one of the crucial topics discussed in most of the international forums. Water harvesting and recycling are the major requirements to meet the global upcoming demand of the water crisis, which is prevalent. To achieve this, we need more emphasis on water management techniques that are applied across various categories of the applications. Keeping in mind the population density index, there is a dire need to implement intelligent water management mechanisms for effective distribution, conservation and to maintain the water quality standards for various purposes. The prescribed work discusses about few major areas of applications that are required for efficient water management. Those are recent trends in wastewater recycle, water distribution, rainwater harvesting and irrigation management using various Artificial Intelligence (AI) models. The data acquired for these applications are purely unique and also differs by type. Hence, there is a dire need to use a model or algorithm that can be applied to provide solutions across all these applications. Artificial Intelligence (AI) and Deep Learning (DL) techniques along with the Internet of things (IoT) framework can facilitate in designing a smart water management system for sustainable water usage from natural resources. This work surveys various water management techniques and the use of AI/DL along with the IoT network and case studies, sample statistical analysis to develop an efficient water management framework.

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Usage of IoT Framework in Water Supply Management for Smart City in Nepal

Cited by 18 publications

References 66 publications

Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches

Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches

Design and Implementation of SEMAR IoT Server Platform with Applications

Smart Water Resource Management Using Artificial Intelligence—A Review

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